Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.2 * weight + 29
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KAŇKOVSKÝ Alois | 83 |
| 5 | JULES Justin | 64 |
| 7 | SHPILEVSKY Boris | 78 |
| 9 | ÖRKEN Ahmet | 69 |
| 10 | WANG Meiyin | 70 |
| 11 | GAVAZZI Mattia | 70 |
| 12 | SAMLI Feritcan | 75 |
| 19 | JABRAYILOV Samir | 52 |
| 24 | AVERIN Maksym | 74 |
| 27 | SCHOONBROODT Bob | 78 |
| 28 | DI BATTISTA Antonio | 68 |